I am working on an Excel system for evaluating various independent variables (X) against a dependent variable (Y). For each variable and line type I calculate the standard error, adjusted R squared, and F value, and then compare them against one another.
Question, which number would you think would be the most reliable predictor of variable quality and line fit?
Once a regression model has been constructed, it may be important to confirm the goodness of fit of the model and the statistical significance of the estimated parameters. Commonly used ...
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